LEADER 05960 am 22006493u 450 001 9910300583703321 005 20200702093722.0 010 $a3-319-95420-2 024 7 $a10.1007/978-3-319-95420-2 035 $a(CKB)4100000007111009 035 $a(DE-He213)978-3-319-95420-2 035 $a(MiAaPQ)EBC6422883 035 $a(Au-PeEL)EBL6422883 035 $a(OCoLC)1065119323 035 $a(EXLCZ)994100000007111009 100 $a20181017d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSequence Analysis and Related Approaches$b[electronic resource] $eInnovative Methods and Applications /$fedited by Gilbert Ritschard, Matthias Studer 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XII, 298 p. 50 illus., 26 illus. in color.) 225 1 $aLife Course Research and Social Policies,$x2211-7776 ;$v10 311 $a3-319-95419-9 327 $aSequence Analysis: Where Are We, Where Are We Going?:Gilbert Ritschard and Matthias Studer -- Part I About Different Longitudinal Approaches in Longitudinal Analysis: Do Different Approaches in Population Science Lead to Divergent or Convergent Models? -- Daniel Courgeau -- Case Studies of Combining Sequence Analysis and Modelling: Mervi Eerola -- Part II Sequence Analysis and Event History Analysis: Glass Ceilings, Glass Escalators and Revolving Doors: Lydia Malin and Ramsey Wise -- Modelling Mortality Using Life Trajectories of Disabled andNon-Disabled Individuals in 19th-Century Sweden: Erling Ha¨ggstro¨m Lundevaller, Lotta Vikstro¨m, and Helena Haage -- Sequence History Analysis (SHA): Estimating the Effect of Past Trajectories on an Upcoming Event: Florence Rossignon, Matthias Studer, Jacques-Antoine Gauthier and Jean-Marie Le Goff -- Part III The Sequence Network Approach: Network Analysis of Sequence Structures: Benjamin Cornwell -- Relational Sequence Networks as a Tool for Studying Gendered Mobility Patterns: Klaus Hamberger -- Part IV Unfolding the Process: Multiphase Sequence Analysis: Thomas Collas -- Unpacking Configurational Dynamics: Sequence Analysis and Qualitative Comparative Analysis as a Mixed-Method Design: Camilla Borgna and Emanuela Struffolino -- Combining Sequence Analysis and Hidden Markov Models in the Analysis of Complex Life Sequence Data: Satu Helske, Jouni Helske, and Mervi Eerola -- Part V Advances in Sequence Clustering: Markovian-based Clustering of Internet Addiction Trajectories: Zhivko Taushanov and Andre´ Berchtold -- Divisive Property-Based and Fuzzy Clustering for Sequence Analysis: Matthias Studer -- From 07.00 to 22.00: A Dual-Earner Couple?s Typical Day in Italy: Ivano Bison and Alessandro Scalcon -- Part VI Appraising Sequence Quality: Measuring Sequence Quality: Anna Manzoni and Irma Mooi-Reci -- An Index of Precarity for Measuring Early Employment Insecurity: Gilbert Ritschard, Margherita Bussi, and Jacqueline O?Reilly -- Subject Index. 330 $aThis open access book provides innovative methods and original applications of sequence analysis (SA) and related methods for analysing longitudinal data describing life trajectories such as professional careers, family paths, the succession of health statuses, or the time use. The applications as well as the methodological contributions proposed in this book pay special attention to the combined use of SA and other methods for longitudinal data such as event history analysis, Markov modelling, and sequence network. The methodological contributions in this book include among others original propositions for measuring the precarity of work trajectories, Markov-based methods for clustering sequences, fuzzy and monothetic clustering of sequences, network-based SA, joint use of SA and hidden Markov models, and of SA and survival models. The applications cover the comparison of gendered occupational trajectories in Germany, the study of the changes in women market participation in Denmark, the study of typical day of dual-earner couples in Italy, of mobility patterns in Togo, of internet addiction in Switzerland, and of the quality of employment career after a first unemployment spell. As such this book provides a wealth of information for social scientists interested in quantitative life course analysis, and all those working in sociology, demography, economics, health, psychology, social policy, and statistics. 410 0$aLife Course Research and Social Policies,$x2211-7776 ;$v10 606 $aSocial sciences 606 $aStatistics  606 $aPopulation 606 $aLife cycle, Human 606 $aMethodology of the Social Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/X17000 606 $aStatistics for Social Sciences, Humanities, Law$3https://scigraph.springernature.com/ontologies/product-market-codes/S17040 606 $aPopulation Economics$3https://scigraph.springernature.com/ontologies/product-market-codes/W38000 606 $aLife course$3https://scigraph.springernature.com/ontologies/product-market-codes/X22310 608 $aElectronic books. 615 0$aSocial sciences. 615 0$aStatistics . 615 0$aPopulation. 615 0$aLife cycle, Human. 615 14$aMethodology of the Social Sciences. 615 24$aStatistics for Social Sciences, Humanities, Law. 615 24$aPopulation Economics. 615 24$aLife course. 676 $a300.1 702 $aRitschard$b Gilbert$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aStuder$b Matthias$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910300583703321 996 $aSequence Analysis and Related Approaches$92119902 997 $aUNINA